Boosting conditional probability estimators

DOI10.1007/s10472-015-9465-7zbMath1407.62118OpenAlexW2133179900MaRDI QIDQ513339

Dan Gutfreund, Michal Rosen-Zvi, Ran Levy, Leonid (Aryeh) Kontorovich

Publication date: 6 March 2017

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-015-9465-7

zbMATH Keywords

conditional densityboosting

Mathematics Subject Classification ID

Related Items (1)

Multivariate time series analysis from a Bayesian machine learning perspective

Uses Software

• AdaBoost.MH

Cites Work

• A decision-theoretic generalization of on-line learning and an application to boosting
• Deformation of log-likelihood loss function for multiclass boosting
• Arcing classifiers. (With discussion)
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Efficient Classification for Metric Data
• Scale-sensitive dimensions, uniform convergence, and learnability
• On Choosing and Bounding Probability Metrics
• Combinatorial methods in density estimation
• Boosting methods for regression
• New concentration inequalities in product spaces
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